Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLYTHE Adam | 68 |
| 2 | VANMARCKE Sep | 77 |
| 3 | FUGLSANG Jakob | 67 |
| 4 | GUARNIERI Jacopo | 80 |
| 5 | MARCATO Marco | 67 |
| 6 | CIOLEK Gerald | 75 |
| 7 | VIVIANI Elia | 67 |
| 8 | GODDAERT Kristof | 72 |
| 9 | DE BACKER Bert | 73 |
| 10 | PATERSKI Maciej | 73 |
| 11 | RUIJGH Rob | 64 |
| 12 | VANTOMME Maxime | 63 |
| 13 | KREDER Raymond | 70 |
| 14 | PLANCKAERT Baptiste | 65 |
| 15 | AAEN JØRGENSEN Jonas | 63 |